Neural network exhibiting improved tolerance to temperature and

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G06F 1518

Patent

active

050758691

ABSTRACT:
An analog neural network is described which provides a means for reducing the sensitivity of the network to temperature and power supply variations. A first circuit is utilized for generating a signal which exhibits a dependence on temperature corresponding to the variation normally experienced by the network in response to a change in temperature. A second circuit is employed to generate another signal which exhibits a similar dependence, except on power supply variations. By coupling these signals as inputs to the neural network the sensitivity of the network to temperature and power supply fluctuations is essentially nulified.

REFERENCES:
patent: 4904881 (1990-02-01), Castro
patent: 4950917 (1990-08-01), Holler et al.
patent: 4999525 (1991-03-01), Park et al.

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